A system for diagnosing an object that includes a preset of an object, a visual representation associated with one or more sub objects of at least part of the object, and a module to analyze the applicable visual representation. The visual representation is captured by a device and provides a specified status of the object. Further the analysis provides a measure of fit between the preset and the specified status of the object as captured and is carried out based on keypoint descriptors used to separate sub objects on the applicable visual representation. The device has a reproduction capturing device and data connectivity.
Legal claims defining the scope of protection, as filed with the USPTO.
1. A system for identifying healthiness of a plant, comprising: a mobile device having an image sensor for capturing an image of at least a part of a plant and a presentation unit; a database which stores a plurality of preset models; a processing unit adapted to perform an image processing analysis during which a visual representation of said at least part of a plant is extracted from said image, said visual representation is matched against at least one preset model of said plurality of preset models based on a visual similarity, and at least one plant disease is automatically identified based on said at least one preset model; and wherein said presentation unit presents, as an outcome of said image processing analysis, an indication of an absence or a presence of said at least one plant disease; wherein said visual similarity denotes a measure of resemblance between said visual representation and said at least one preset model.
2. The system of claim 1 , wherein said outcome is a measure of a fit between the at least one preset model and a specified status of said plant.
3. The system of claim 1 , wherein said at least one preset model comprises a healthy model and a sick model of said plant.
4. The system of claim 1 , wherein said processing unit and said database are integrated into said mobile device.
5. The system of claim 1 , wherein said processing unit and said database are hosted on at least one network node, said mobile device includes a network interface that forwards at least one of said visual representation and said image to said at least one network node and receives said indication from said at least one network node.
6. The system of claim 1 , wherein said plant is crop.
7. The system of claim 1 , wherein said plant is an herb.
8. The system of claim 1 , wherein said part is a leaf.
9. The system of claim 8 , wherein said analysis is set to identify a leaf infection.
10. The system of claim 1 , wherein further comprising means to attach it to a human body.
11. The system of claim 1 , wherein said processing unit performs an analysis of said visual representation in light of a location based analysis of localization data acquired by said mobile device.
12. The system of claim 11 , wherein said localization data is selected from a group consisting of: global positioning system data, triangulation data, Global system for mobile communications (GSM) network data, Wi-Fi network data, and a radio frequency identification data.
13. The system of claim 1 , wherein said processing unit performs an analysis of said visual representation in light of an analysis of plant health historical data.
14. The system of claim 1 , wherein said image is part of video data captured using said image sensor.
15. The system of claim 14 , wherein said processing is performed while further capturing is performed.
16. The system of claim 1 , wherein said at least one preset model is indicative of an aphid on said part of a plant.
17. The system of claim 15 , wherein said indication is indicative of an aphid category.
18. A computerized method for identifying healthiness of a plant, comprising: providing an access to a plurality of preset models of a plant; capturing an image of at least a part of a plant using an image sensor of a mobile device; identifying, using a processing unit of said mobile device, at least one plant disease according to an image processing analysis during which a visual representation of said at least part of a plant is extracted from said image, said visual representation is matched against at least one preset model of said plurality of preset models based on a visual similarity, and at least one plant disease is automatically identified based on said at least one preset model; wherein said visual similarity denotes a measure of resemblance between said visual representation and said at least one preset model; and presenting as an outcome of said image processing analysis, an indication of an absence or a presence of said at least one plant disease.
19. The method according to claim 18 , wherein said image images a shelf space in a marketplace that includes said plant.
20. The method according to claim 18 , wherein said at least one plant disease is a presence of an unwanted herb in a plantation which is at least partly depicted in said visual representation.
21. The method according to claim 18 , wherein said analysis is performed in less than 5 seconds.
22. The method according to claim 18 , wherein said mobile device is attached to a body part of a human.
23. The method according to claim 18 , wherein said identifying is based on keypoint descriptors.
24. The method according to claim 18 , wherein said capturing comprises capturing a plurality of images and selecting said image after a plurality of keypoint descriptors are identified therein.
25. The method according to claim 18 , wherein said indication define at least one symptom of a plant illness.
26. The method of claim 18 , wherein each of said plurality of preset models includes precalculated keypoint descriptors, and said matching of said visual representation is based on matching scene representation keypoint descriptors extracted from said visual representation to said precalculated keypoint descriptors of said at least one preset model.
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August 16, 2012
December 9, 2014
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